Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지
DOI QR코드

DOI QR Code

A Digital Device-Based Method for Quantifying Motor Impairment in Movement Disorders

디지털 디바이스를 이용한 이상운동증에서의 운동손상 정량화 방법

  • Bae, Suhan (School of Computer Science and Electrical Engineering, Handong Global University) ;
  • Yun, Daeun (School of Computer Science and Electrical Engineering, Handong Global University) ;
  • Ha, Jaekyung (School of Computer Science and Electrical Engineering, Handong Global University) ;
  • Gwon, Daeun (School of Computer Science and Electrical Engineering, Handong Global University) ;
  • Kim, Young Goo (Department of Neurosurgery, Ewha Womans University School of Medicine, Ewha Womans University Mokdong Hospital) ;
  • Ahn, Minkyu (School of Computer Science and Electrical Engineering, Handong Global University)
  • 배수한 (한동대학교 전산전자공학부) ;
  • 윤다은 (한동대학교 전산전자공학부) ;
  • 하재경 (한동대학교 전산전자공학부) ;
  • 권다은 (한동대학교 전산전자공학부) ;
  • 김영구 (이화여자대학교 의과대학 목동병원 신경외과) ;
  • 안민규 (한동대학교 전산전자공학부)
  • Received : 2020.08.31
  • Accepted : 2020.12.21
  • Published : 2020.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Accurate diagnosis of movement disorders is important for providing right patient care at right time. In general, assessment of motor impairment relies on clinical ratings conducted by experienced clinicians. However, this may introduce subjective opinions into scoring the severity of motor impairment. Digital devices such as table PC and smart band with accelerometer can be used for more accurate and objective assessment and possibly helpful for clinicians to make right decision of patient's states. In this study, we introduce quantification algorithms of motor impairment which uses the digital data acquired during four clinical motor tests (Line drawing, Spiral drawing, Nose to finger and Hand flip tests). The step by step procedure of quantifying metrics (Tremor Frequency, Tremor Magnitude, Error Distance, Time, Velocity, Count and Period) are provided with flowchart. The effectiveness of the proposed algorithm is presented with the result from simulated data (normal, normal with tremor and slowness, poor with tremor, poor with tremor and slowness).

Keywords

Acknowledgement

이 연구는 한국연구재단의 개인기초연구사업(2017R1C1B5017593, 2019R1F1A1058844) 및 정보통신기획평가원의 소프트웨어중심대학 지원사업(2017-0-00130)의 지원을 받아 수행하였습니다.

References

  1. https://biz.chosun.com/site/data/html_dir/2019/09/30/2019093002367.html. Accessed on 30 Sep 2014.
  2. Koh SB. Diagnosis and Treatment of Parkinson's Disease. J Korean Acad Fam Med. 2003;24:1059-68.
  3. http://www.futurekorea.co.kr/news/articleView.html?idxno=115882. Accessed on 15 Apr 2019.
  4. Kwon DE, Kim YS, Kim SJ, Song MG, Ahn MK. A Survey of Movement Symptom and Quantification Method in Parkinson's Disease. Journal of KIISE. 2019;46(4):308-20. https://doi.org/10.5626/JOK.2019.46.4.308
  5. James KF, Zhongjiao L, Prem J, Chrystalina AA. Quantifying Motor Impairment in Movement Disorders. FronT Neurosci. 2018;12:202.
  6. Arora S, Venkataraman V, Donohue SJ, Biglan KM, Dorsey ER, Little MA. Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study. Parkinsonism & Related Disorders. 2015;21:650-53. https://doi.org/10.1016/j.parkreldis.2015.02.026
  7. Jang W, Han J, Park J, Kim JS, Cho JW, Koh SB, Chung SJ, Kim IY, Kim HT. Waveform analysis of tremor may help to differentiate Parkinson's disease from drug-induced parkinsonism. Physiological measurement. 2013;34(3):N15. https://doi.org/10.1088/0967-3334/34/3/N15
  8. Chung SJ. Diagnosis and treatment of hand tremor. J Korean Med Assoc. 2012;55(10):987-95. https://doi.org/10.5124/jkma.2012.55.10.987
  9. Kim JM. Tremor. 2015 Education Symposium for Neurology Trainee on Movement Disorder Basics. 2015;51-5.
  10. Lee KW, Kim MR, Ohn JG, Hong YK. Estimation of acceleration by noise rejection from velocity signals using Smoothing technique. J KOREAN SOC RAILW. 2003;10:247-51.
  11. Kim YT (2014). Sleep Apnea Monitoring System Using an Accelerometer. Unpublished master thesis, Myungji University, Seoul.
  12. Yoo JY, Park GC, Jeon AY, Kim CH, Kim YJ, Ro JH, Jeon GR. Wireless Vibration Measurement System Using a 3-Axial Accelerometer Sensor. J. Sens. Sci. Technol. 2011;20(2):131-6. https://doi.org/10.5369/JSST.2011.20.2.131